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Three-Way Fuzzy Sets and Their Applications (II)
Axioms, 2022 Recently, the notion of a three-way fuzzy set is presented, inspired by the basic ideas of three-way decision and various generalized fuzzy sets, including lattice-valued fuzzy sets, partial fuzzy sets, intuitionistic fuzzy sets, etc.
Jingqian Wang +2 more
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The investigation of the Bayesian rough set model [PDF]
, 1999 The original Rough Set model is concerned primarily with algebraic properties of approximately defined sets. The Variable Precision Rough Set (VPRS) model extends the basic rough set theory to incorporate probabilistic information. The article presents a
Slezak, Dominik, Ziarko, Wojciech
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The Parameter Reduction of Fuzzy Soft Sets Based on Soft Fuzzy Rough Sets
Advances in Fuzzy Systems, 2013 Fuzzy set theory, rough set theory, and soft set theory are three effective mathematical tools for dealing with uncertainties and have many wide applications both in theory and practise. Meng et al.
Zhiming Zhang
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On Topological Properties of IF Approximation Spaces
Fuzzy Information and Engineering, 2015 Rough approximation operators in approximation spaces are the core concept of rough set theory, which draw close links between rough set theory and topology.
Ning-Xin Xie
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Roughness in Membership Continuous Function
مجلة المختار للعلوم, 2021 In this paper, we introduce the new definition of rough membership function using continuous function and we discuss several concepts and properties of rough continuous set value functions as new results on rough continuous function and membership ...
Faraj.A. Abdunani, Ahmed.A. Shletiet
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Oppositions in Rough Set Theory [PDF]
, 2012 The role of opposition in rough set theory is laid bare. There are two sources which generate oppositions in rough sets: approximations and relations. In the former case, we outline a hexagon and a cube of oppositions. In the second case, we define a classical square of oppositions and also a tetrahedron when considering the standpoint of two agents.
CIUCCI, DAVIDE ELIO +2 more
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Improving circuit miniaturization and its efficiency using Rough Set Theory
, 2013 High-speed, accuracy, meticulousness and quick response are notion of the vital necessities for modern digital world. An efficient electronic circuit unswervingly affects the maneuver of the whole system. Different tools are required to unravel different
Kumar, Anugrah +4 more
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Class-based Rough Approximation with Dominance Principle [PDF]
, 2011 Dominance-based Rough Set Approach (DRSA), as the extension of Pawlak's Rough Set theory, is effective and fundamentally important in Multiple Criteria Decision Analysis (MCDA).
Chai, Junyi, Liu, James N. K.
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Rough set theory applied to pattern recognition of partial discharge in noise affected cable data [PDF]
, 2016 This paper presents an effective, Rough Set (RS) based, pattern recognition method for rejecting interference signals and recognising Partial Discharge (PD) signals from different sources.
Hepburn, Donald M. +8 more
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Two kinds of average approximation accuracy
CAAI Transactions on Intelligence TechnologyRough set theory places great importance on approximation accuracy, which is used to gauge how well a rough set model describes a target concept. However, traditional approximation accuracy has limitations since it varies with changes in the target ...
Qingzhao Kong +3 more
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